System architecture and key technologies of intelligent,safe and efficient mining for rockburst coal seams
DENG Zhigang
LI Yunpeng
ZHAO Shankun
WANG Yin
LI Shaogang
KONG Linghai
JIANG Junjun
SU Zhenguo
LI Yizhe
QIN Kai
Abstract：At present,the prevention and control of rock burst in coal mines relies on the monitoring and manual analysis of stress,energy,displacement and other data,and implements targeted prevention measures accordingly.After nearly 100 years of unremit-ting research and practice,remarkable progress has been made in this field in terms of theoretical depth,technological innovation and equipment upgrading.However,in the field of source control and intelligent prevention and control,there are still many challenges and problems.In the selection of the top ten industrial and technological issues by the China Association for Science and Techno-logy in 2023,the expert group unanimously selected"how to achieve intelligent,safe,and efficient mining of coal seams under rock pressure"as a key topic.It points out the direction for the future development of mine burst disaster prevention and control.The in-telligent mining of rock burst coal seam is not only a technical problem,but also a complex system engineering problem.Based on more than 40 years of theoretical accumulation and engineering practice,the framework and key technologies of intelligent,safe and efficient coal seam mining system are proposed.First of all,digital twin technology is used to build a fine digital model,deeply de-tect and analyze the geological structure of the area where the mine is located,accurately measure the characteristics of the regional geostress field and the physical and mechanical properties of coal and rock,and rely on advanced algorithms to carry out engineer-ing distribution of formation change information to achieve"transparency"of geological information.Secondly,in the digital mod-el,the excavation process of shaft,roadway and working face is simulated according to the mine mining design scheme.At the same time,the real-time data of various monitoring systems in the well and underground are combined with the dynamic update and calcu-lation of the mine digital model,which can not only review and analyze the historical engineering effects,but also predict and de-duce the impact of future engineering activities.Thirdly,with the help of deep learning and AI technology,the computer can inde-pendently learn the holographic data of the mine,make independent decisions on mining and prevention engineering measures ac-cording to the real-time changes of monitoring data and engineering activities,and build a standardized communication technology system to realize the interconnection of various equipment in the mine and create an intelligent mine ecosystem.Finally,the intelli-gent mining equipment control module is developed.Under the guidance of computer intelligent decision,the intelligent control of all kinds of equipment in the whole mine is realized.By independently adjusting the timing of coal mining and pressure relief,optim-izing the running speed of coal mining,transportation,lifting and other equipment,fully realizing the intelligent mining of rock burst coal seams,all these provide strong guarantee for the safe production and efficient operation of coal mines.
Keywords：rockburstintelligent miningenvironmental perceptionadvance deductionAI decision-making
Publication Date：2024-12-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 1-9 )